Igor Melnyk – författare

This book covers a range of leading-edge topics. It is suitable for teaching specialists for advanced lectures in the domains of systems architecture and distributed platforms. Furthermore, it serves as a basis for undergraduates as well as an inspiration for interesting postgraduates, looking for new challenges. It addresses a holistic view of QoS, which becomes nowadays via Digital Transformations less technically and more socially driven. This includes IoT, energy efficiency, secure transactions, blockchains, and smart contracting.

Under the term Emerging Networking (EmN), we cover the steadily growing diversity of smart mobile and robotic apps and unmanned scenarios (UAV). EmN supports distributed intelligence across the combined mobile, wireless, and fixed networks in the edge-to-cloud continuum. The 6G driving factors and potentials in the mid-term are examined. Operative (emergency) networking, which assists rescue troops at sites, also belongs to the above-mentionedproblems. The EmN architecture includes the components of SDN, blockchain, and AI with efficient slicing and cloud support.

The design peculiarities in dynamically changing domains, such as Smart Shopping/Office/Home, Context-Sensitive Intelligent apps, are discussed. Altogether, the provided content is technically interesting while still being rather practically oriented and therefore straightforward to understand.

This book originated from the close cooperation of scientists from Germany, Ukraine, Israel, Switzerland, Slovak Republic, Poland, Czech Republic, South Korea, China, Italy, North Macedonia, Azerbaijan, Kazakhstan, France, Latvia, Greece, Romania, USA, Finland, Morocco, Ireland, and the United Kingdom.

We wish all readers success and lots of inspiration from this useful book!

This book covers several cutting-edge topics and provides a direct follow-up to former publications such as “Intent-based Networking” and “Emerging Networking”, bringing together the latest network technologies and advanced AI applications. Typical subjects include 5G/6G, clouds, fog, leading-edge LLMs, large-scale distributed environments with specific QoS requirements for IoT, robots, machine and deep learning, chatbots, and further AI solutions. The highly promising combination of smart applications, network infrastructure, and AI represents a unique mix of real synergy. Special aspects of current importance such as energy efficiency, reliability, sustainability, security and privacy, telemedicine, e-learning, and image recognition are addressed too. The book is suitable for students, professors, and advanced lecturers for networking, system architecture, and applied AI. Moreover, it serves as a basis for research and inspiration for interested professionals looking for new challenges.